Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

How language can help discrimination in the Neural Modelling Fields framework.

José F Fontanari1, Leonid I Perlovsky

  • 1Instituto de Física de São Carlos, Universidade de São Paulo, Caixa Postal 369, 13560-970 São Carlos SP, Brazil. fontanari@ifsc.usp.br

Neural Networks : the Official Journal of the International Neural Network Society
|January 15, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nonequilibrium phase transition and cultural drift in the continuous-trait Axelrod model.

Physical review. E·2026
Same author

On testing the tolerance-plasticity trade-off hypothesis as the change of thermal tolerance across two environments.

Journal of thermal biology·2025
Same author

PLRev at 20: Honoring Leonid Perlovsky and celebrating interdisciplinary science.

Physics of life reviews·2024
Same author

Cooperation in the face of crisis: effect of demographic noise in collective-risk social dilemmas.

Mathematical biosciences and engineering : MBE·2024
Same author

Revisiting institutional punishment in the N-person prisoner's dilemma.

Theory in biosciences = Theorie in den Biowissenschaften·2024
Same author

Evolutionary Game-Theoretic Approach to the Population Dynamics of Early Replicators.

Life (Basel, Switzerland)·2024
Same journal

Anchor-based disentanglement framework for incremental multi-view clustering.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Complex-valued amplitude-phase interference modeling for adversarially robust classification.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Decentralized ADMM for factorization-based Low-rank matrix estimation.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Language acquisition enhances an agent's ability to discriminate sensory information. Linguistic input refines the agent's capacity to distinguish overlapping categories, improving perception.

Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Linguistics

Background:

  • The influence of language on thought and perception remains a significant area of research.
  • Understanding how agents acquire and utilize language to improve cognitive tasks is crucial.

Purpose of the Study:

  • To investigate whether and how language acquisition influences an agent's ability to discriminate between sensory stimuli.
  • To explore the role of linguistic input in refining categorization and perception.

Main Methods:

  • A discrimination task scenario was designed to study language acquisition in an artificial agent.
  • The agent received both sensory stimuli and linguistic input from a teacher.
  • Sensory and linguistic data were integrated using the Neural Modelling Fields (NMF) categorization algorithm.

Related Experiment Videos

Main Results:

  • Agents provided with language demonstrated an enhanced ability to differentiate object features compared to agents without language.
  • Linguistic stimuli were found to refine the discrimination capacity of the agent's sensory channels.
  • The agent successfully distinguished between previously indistinguishable, overlapping categories.

Conclusions:

  • Language acquisition significantly improves an agent's perceptual discrimination capabilities.
  • Linguistic input acts as a catalyst for refining sensory processing and categorization.
  • This study provides evidence for the role of language in shaping cognitive abilities.